Abstract
The first aim of this paper is to provide a comparison between the generic characteristics of the detection-by-appearance and the detection-by-behaviour models for malicious software intrusion detection, and thus to discuss the efficiency of intrusion detection systems based on AI technologies. We introduce the SECURENET system, an experimental intrusion detection intelligent system, which incorporates the use of expert systems, neural networks, and intent specification languages. The second goal is to present the basis of a reaction- time delay analysis for SECURENET in a typical WAN environment. Together with the proportion of attacks detected, reaction time is one of the main efficiency criteria of an intrusion detection system.
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